An integrated multi-criteria decision making methodology for health technology assessment

Karataş, Mümtaz; Karacan, İlknur; Tozan, Hakan

doi:10.1504/ejie.2018.093637

Cited by 17 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, two examples of MCDA applications of HTA are given: EVIDEM and Bariatric Surgery Selection [12,51]. The EVIDEM framework is the first MCDA application that was developed specifically for MCDA in healthcare or HTA studies.…”

Section: Mcda Applications For Htamentioning

confidence: 99%

“…Additionally, it has been tested internationally in various applications in countries such as Canada, South Africa, Italy, and Spain in recent years [12,[52][53][54][55][56]. The second example, Bariatric Surgery Selection for obesity treatment, is the first such application to HTA in Turkey [51]. Neither the EVIDEM framework nor Bariatric Surgery Selection has been used with the HTA Core Model ® .…”

Section: Mcda Applications For Htamentioning

confidence: 99%

Section: Bariatric Surgery Selectionmentioning

confidence: 99%

“…One another application of MCDA in HTA was carried out by Karatas et al in Turkey [51]. Karatas et al developed a hybrid Visual C#-based decision support system (DSS) called the Decision-Making Tool Designed to Select (DEMATSEL), which includes MCDA methods such as AHP, fuzzy AHP, TOPSIS, fuzzy TOPSIS, VIKOR, fuzzy VIKOR, and goal programming [51]. The aim of developing DEMATSEL was to create a tool by which technological products and services could be assessed by their categorical values, and the best alternative could be chosen with a flexible and reliable process [51].…”

Section: Bariatric Surgery Selectionmentioning

confidence: 99%

See 3 more Smart Citations

A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey

Öztürk

Tozan

Vayvay

2020

IJERPH

Self Cite

View full text Add to dashboard Cite

Background: This paper presents a generic Multi-Criteria Decision Analysis (MCDA) model for Health Technology Assessment (HTA) decision-making, which can be applied to a wide range of HTA studies, regardless of the healthcare technology type under consideration. Methods: The HTA Core Model® of EUnetHTA was chosen as a basis for the development of the MCDA model because of its common acceptance among European Union countries. Validation of MCDA4HTA was carried out by an application with the HTA study group of the Turkish Ministry of Health. The commitment of the decision-making group is completed via an online application of 10 different questionnaires. The Analytic Hierarchy Process (AHP) is used to determine the weights. Scores of the criteria in MCDA4HTA are gathered directly from the HTA report. The performance matrix in this application is run with fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), fuzzy Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR), and goal programming MCDA techniques. Results: Results for fuzzy VIKOR, fuzzy TOPSIS, and goal programming are 0.018, 0.309, and 0.191 for peritoneal dialysis and 0.978, 0.677, and 0.327 for hemodialysis, respectively. Conclusions: Peritoneal dialysis is found to be the best choice under the given circumstances, despite its higher costs to society. As an integrated decision-making model for HTA, MCDA4HTA supports both evidence-based decision policy and the transparent commitment of multi-disciplinary stakeholders.

show abstract

Section: Mcda Applications For Htamentioning

confidence: 99%

Section: Mcda Applications For Htamentioning

confidence: 99%

Section: Bariatric Surgery Selectionmentioning

confidence: 99%

Section: Bariatric Surgery Selectionmentioning

confidence: 99%

See 2 more Smart Citations

A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey

Öztürk

Tozan

Vayvay

2020

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is almost impossible, in many cases, to form definitive definitions of real-life applications in the health field or to completely explain the relationships between medical concepts. Thus, the imperfect knowledge situation is inevitable and this structure of medical data causes uncertainty in the decision-making process [68,69]. For this reason, interval-valued intuitionistic fuzzy sets are considered as a proper methodology in this study, in terms of the structure of the health data.…”

mentioning

confidence: 99%

Prioritization of Medical Errors in Patient Safety Management: Framework Using Interval-Valued Intuitionistic Fuzzy Sets

2020

Self Cite

View full text Add to dashboard Cite

Medical errors negatively affect patients, healthcare professionals, and healthcare establishments. Therefore, all healthcare service members should be attentive to medical errors. Research has revealed that most medical errors are caused by the system, rather than individuals. In this context, guaranteeing patient safety and preventing medical faults appear to be basic elements of quality in healthcare services. Healthcare institutions can create internal regulations and follow-up plans for patient safety. While this is beneficial for the dissemination of patient safety culture, it poses difficulties in terms of auditing. On the other hand, the lack of a standard patient safety management system, has led to great variation in the quality of the provided service among hospitals. Therefore, this study aims to create an index system to create a standard system for patient safety by classifying medical errors. Due to the complex nature of healthcare and its processes, interval-valued intuitionistic fuzzy logic is used in the proposed index system. Medical errors are prioritized, based on the index scores that are generated by the proposed model. Because of this systematic study, not only can the awareness of patient safety perception be increased in health institutions, but their present situation can also be displayed, on the basis of each indicator. It is expected that the outcomes of this study will motivate institutions to identify and prioritize their future improvements in the patient safety context.

show abstract

A Survey on Recent Applications of Pythagorean Fuzzy Sets: A State-of-the-Art Between 2013 and 2020

Deveci

Erişkin

Karataş

2021

Pythagorean Fuzzy Sets

View full text Add to dashboard Cite

An integrated multi-criteria decision making methodology for health technology assessment

Cited by 17 publications

References 0 publications

A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey

A New Decision Model Approach for Health Technology Assessment and a Case Study for Dialysis Alternatives in Turkey

Prioritization of Medical Errors in Patient Safety Management: Framework Using Interval-Valued Intuitionistic Fuzzy Sets

A Survey on Recent Applications of Pythagorean Fuzzy Sets: A State-of-the-Art Between 2013 and 2020

Contact Info

Product

Resources

About